CN111170161B - Mode setting system based on scene detection - Google Patents
Mode setting system based on scene detection Download PDFInfo
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- CN111170161B CN111170161B CN201911384201.5A CN201911384201A CN111170161B CN 111170161 B CN111170161 B CN 111170161B CN 201911384201 A CN201911384201 A CN 201911384201A CN 111170161 B CN111170161 B CN 111170161B
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- crane
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- image restoration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C15/00—Safety gear
- B66C15/04—Safety gear for preventing collisions, e.g. between cranes or trolleys operating on the same track
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/16—Applications of indicating, registering, or weighing devices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/957—Light-field or plenoptic cameras or camera modules
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
- Jib Cranes (AREA)
Abstract
The invention relates to a mode setting system based on scene detection, which comprises: the mode setting equipment is used for controlling the crane to enter a safety management mode when receiving the first control signal and is also used for controlling the crane to enter a construction management mode when receiving the second control signal; the signal analysis equipment is used for sending a first control signal when the received representative depth of field is smaller than a preset depth of field threshold value, and is also used for sending a second control signal when the received representative depth of field is larger than or equal to the preset depth of field threshold value; in the safety management mode, the crane retracts its boom, and in the construction management mode, the crane deploys its boom. The mode setting system based on scene detection is safe and reliable and has a certain automation level. The wide-angle image shot in the range influenced by the crane arm of the crane is processed, analyzed and responded in a targeted mode, so that the probability that the crane arm threatens the safety of nearby pedestrians is reduced.
Description
Technical Field
The invention relates to the field of information analysis, in particular to a mode setting system based on scene detection.
Background
The information analysis is based on the specific requirements of social users, takes qualitative and quantitative research methods as means, and forms new and value-added information products through the serialized processing processes of collection, arrangement, identification, evaluation, analysis, synthesis and the like of social information, and finally is an intelligent activity with scientific research property serving for scientific decision-making services at different levels.
Information analysis is related to the aspects of society, and various research methods are used, so that information analysis can be classified into various types according to different classification standards.
Disclosure of Invention
The invention has at least the following two important points:
(1) judging whether an excessively close human body object exists in the range influenced by the crane boom according to the pertinence processing result of the wide-angle image shot in the range influenced by the crane boom, and automatically triggering the setting of a safety management mode of the crane based on the judgment result;
(2) in the safety management mode, the crane stows its boom, and in the construction management mode, the crane deploys its boom.
According to an aspect of the present invention, there is provided a mode setting system based on scene detection, the system including:
the mode setting equipment is used for controlling the crane to enter a safety management mode when receiving the first control signal and is also used for controlling the crane to enter a construction management mode when receiving the second control signal;
the wide-angle camera shooting mechanism is arranged on a supporting structure at the central position of the crane and used for executing wide-angle camera shooting operation on the range influenced by a crane arm of the crane to obtain a corresponding wide-angle camera shooting image, and the wide angle is an angle of view larger than 270 degrees;
the image restoration device is connected with the wide-angle camera shooting mechanism and used for executing image restoration processing on the received wide-angle camera shooting image so as to obtain an instant restoration image;
the real-time filtering equipment is connected with the image restoration equipment and is used for executing geometric mean filtering processing on the received instant restoration image so as to obtain a corresponding mean filtering image;
the correction processing equipment is connected with the real-time filtering equipment and is used for executing gamma correction processing on the received mean value filtering image to obtain a correction processing image;
the content identification device is connected with the correction processing device and used for identifying each human body object from the correction processing image based on a preset human body gray level threshold range, comparing each imaging depth of field corresponding to each human body object respectively, and outputting the imaging depth of field with the shallowest imaging depth of field as a representative depth of field, wherein the preset human body gray level threshold range is limited by a human body gray level upper threshold and a human body gray level lower threshold;
the signal analysis equipment is connected with the content identification equipment and used for sending out a first control signal when the received representative depth of field is smaller than a preset depth of field threshold value and sending out a second control signal when the received representative depth of field is larger than or equal to the preset depth of field threshold value;
wherein in the safety management mode the crane stows its boom and in the construction management mode the crane deploys its boom.
The mode setting system based on scene detection is safe and reliable and has a certain automation level. The wide-angle image shot in the range influenced by the crane arm of the crane is processed, analyzed and responded in a targeted mode, so that the probability that the crane arm threatens the safety of nearby pedestrians is reduced.
Detailed Description
An embodiment of the scene detection-based mode setting system of the present invention will be described in detail below.
The crane refers to a multi-action crane for vertically lifting and horizontally carrying heavy objects within a certain range. Also known as crown blocks, navigation cranes and cranes.
The tire crane is mainly characterized in that: the traveling cab and the crane control cab are integrated into a whole and are formed by evolving a crawler crane (crawler crane), a crawler and a traveling support part of a traveling mechanism are changed into a chassis with tires, the defect that a crawler plate of the crawler crane (crawler crane) damages a road surface is overcome, and the material handling machine belongs to material handling machinery.
The hoisting equipment has the working characteristics of intermittent movement, namely corresponding mechanisms for taking materials, transporting, unloading and the like in one working cycle alternately work, so that the development and the use of the crane on the market are more and more extensive. Because the weight is lifted without the supporting legs and the lifted weight is frequently used for driving, the driving speed is higher than that of a crawler crane (crawler crane); the operation is stable, the lifting capacity is large, the lifting can be carried out within a specific range, but the road is required to be smooth and firm, the tire air pressure meets the requirement, and the lifting distance from the ground is not more than 50 CM; long distance walking with load is prohibited. In order to ensure the operation safety, the lifting operation without landing legs is basically forbidden in China at present. The crane is matched with steel wire ropes of various types including phosphated coated steel wire ropes, galvanized steel wire ropes and polished steel wire ropes.
At present, as a large engineering apparatus, a crane boom has the greatest threat to the surrounding environment, and particularly in a construction state, the crane boom is relatively unstable, and in various extreme conditions, some safety accidents are easily caused, such as smashing workers walking on accessories and the like. At present, specific measures for coping with the potential safety hazards are lacked.
In order to overcome the defects, the invention builds a mode setting system based on scene detection, and can effectively solve the corresponding technical problem.
The mode setting system based on scene detection shown according to the embodiment of the present invention includes:
the mode setting equipment is used for controlling the crane to enter a safety management mode when receiving the first control signal and is also used for controlling the crane to enter a construction management mode when receiving the second control signal;
the wide-angle camera shooting mechanism is arranged on a supporting structure at the central position of the crane and used for executing wide-angle camera shooting operation on the range influenced by a crane arm of the crane to obtain a corresponding wide-angle camera shooting image, and the wide angle is an angle of view larger than 270 degrees;
the image restoration device is connected with the wide-angle camera shooting mechanism and used for executing image restoration processing on the received wide-angle camera shooting image so as to obtain an instant restoration image;
the real-time filtering equipment is connected with the image restoration equipment and is used for executing geometric mean filtering processing on the received instant restoration image so as to obtain a corresponding mean filtering image;
the correction processing equipment is connected with the real-time filtering equipment and is used for executing gamma correction processing on the received mean value filtering image to obtain a correction processing image;
the content identification device is connected with the correction processing device and used for identifying each human body object from the correction processing image based on a preset human body gray level threshold range, comparing each imaging depth of field corresponding to each human body object respectively, and outputting the imaging depth of field with the shallowest imaging depth of field as a representative depth of field, wherein the preset human body gray level threshold range is limited by a human body gray level upper threshold and a human body gray level lower threshold;
the signal analysis equipment is connected with the content identification equipment and used for sending out a first control signal when the received representative depth of field is smaller than a preset depth of field threshold value and sending out a second control signal when the received representative depth of field is larger than or equal to the preset depth of field threshold value;
wherein in the safety management mode the crane stows its boom and in the construction management mode the crane deploys its boom.
Next, a specific configuration of the scene detection-based mode setting system according to the present invention will be further described.
In the mode setting system based on scene detection, the method further includes:
and the humidity sensing device is arranged inside the image restoration device and used for detecting the internal humidity of the image restoration device.
In the mode setting system based on scene detection, the method further includes:
and the humidity sensing device is arranged inside the image restoration device and used for detecting the internal humidity of the image restoration device.
In the scene detection-based mode setting system:
the humidity sensing device comprises a plurality of humidity sensors which are uniformly distributed and are respectively arranged at each position in the image restoration device.
In the scene detection-based mode setting system:
the humidity sensing apparatus calculates an internal humidity of the image restoration apparatus based on a plurality of output data of the plurality of humidity sensors.
In the mode setting system based on scene detection, the method further includes:
and the parallel line socket is respectively connected with the signal output ends of the image restoration equipment, the real-time filtering equipment and the correction processing equipment.
In the scene detection-based mode setting system:
the image restoration device is internally provided with a serial communication interface and is used for receiving a control signal sent by a user through the serial communication interface.
In the mode setting system based on scene detection, the method further includes:
and the buzzer is connected with the real-time filtering equipment and used for executing the alarm action of preset playing frequency when the real-time filtering equipment is in an abnormal state.
In the scene detection-based mode setting system:
the real-time filtering device and the image restoration device share the same data caching device, and the data caching device divides the data caching address into two segments for respectively storing the caching data of the image restoration device and the real-time filtering device.
In the scene detection-based mode setting system:
and the data caching device is respectively connected with the image restoration device and the real-time filtering device through a parallel data bus.
In addition, the signal analyzing apparatus is implemented by a PLA device. Programmable Logic array PLA (programmable Logic array) which is composed of a programmable AND array and a programmable OR array. Programmable Array Logic (PAL) devices, which are introduced first by MMI corporation of America, are widely used due to the variety of output structures and flexible design.
The basic structure of a PAL device feeds a programmable and array output product term to an or array, and the logic expression implemented by the PAL device has the form of a sum of products, and thus can describe any boolean transfer function.
PAL devices are built internally of five basic types: (1) a basic array structure; (2) a programmable I/O structure; (3) a register output structure with feedback; (4) an exclusive or structure: (5) an arithmetic functional structure.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. A mode setting system based on scene detection, comprising:
the mode setting equipment is used for controlling the crane to enter a safety management mode when receiving the first control signal and is also used for controlling the crane to enter a construction management mode when receiving the second control signal;
the wide-angle camera shooting mechanism is arranged on a supporting structure at the central position of the crane and is used for executing wide-angle camera shooting operation on the range influenced by a crane arm of the crane to obtain a corresponding wide-angle camera shooting image, and the wide angle is an angle of view larger than 270 degrees;
the image restoration device is connected with the wide-angle camera shooting mechanism and used for executing image restoration processing on the received wide-angle camera shooting image so as to obtain an instant restoration image;
the real-time filtering equipment is connected with the image restoration equipment and is used for executing geometric mean filtering processing on the received instant restoration image so as to obtain a corresponding mean filtering image;
the correction processing equipment is connected with the real-time filtering equipment and is used for executing gamma correction processing on the received mean value filtering image to obtain a correction processing image;
the content identification device is connected with the correction processing device and used for identifying each human body object from the correction processing image based on a preset human body gray level threshold range, comparing each imaging depth of field corresponding to each human body object respectively, and outputting the imaging depth of field with the shallowest imaging depth of field as a representative depth of field, wherein the preset human body gray level threshold range is limited by a human body gray level upper threshold and a human body gray level lower threshold;
the signal analysis equipment is connected with the content identification equipment and used for sending out a first control signal when the received representative depth of field is smaller than a preset depth of field threshold value and sending out a second control signal when the received representative depth of field is larger than or equal to the preset depth of field threshold value;
wherein in the safety management mode the crane stows its boom, and in the construction management mode the crane deploys its boom;
a humidity sensing device provided inside the image restoration device for detecting an internal humidity of the image restoration device;
the humidity alarm device is connected with the humidity sensing device and used for executing corresponding humidity alarm operation when the received internal humidity of the image restoration device exceeds the limit;
the humidity sensing equipment comprises a plurality of humidity sensors which are uniformly distributed and are respectively arranged at each position in the image restoration equipment;
the humidity sensing device calculates an internal humidity of the image restoration device based on a plurality of output data of the plurality of humidity sensors;
and the parallel line socket is respectively connected with the signal output ends of the image restoration equipment, the real-time filtering equipment and the correction processing equipment.
2. The scene detection based mode setting system according to claim 1, characterized in that:
the image restoration device is internally provided with a serial communication interface and is used for receiving a control signal sent by a user through the serial communication interface.
3. The scene detection-based mode setting system according to claim 2, further comprising:
and the buzzer is connected with the real-time filtering equipment and used for executing the alarm action of preset playing frequency when the real-time filtering equipment is in an abnormal state.
4. The scene detection based mode setting system according to claim 3, characterized in that:
the real-time filtering device and the image restoration device share the same data caching device, and the data caching device divides the data caching address into two segments for respectively storing the caching data of the image restoration device and the real-time filtering device.
5. The scene detection based mode setting system according to claim 4, characterized in that:
and the data caching device is respectively connected with the image restoration device and the real-time filtering device through a parallel data bus.
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| CN201911384201.5A CN111170161B (en) | 2019-12-28 | 2019-12-28 | Mode setting system based on scene detection |
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| CN111882600B (en) * | 2020-06-23 | 2021-04-13 | 蔡芳 | A coal block directional processing platform using cloud analysis |
| CN112520606A (en) * | 2020-10-21 | 2021-03-19 | 浙江大华技术股份有限公司 | Tower crane monitoring system and tower crane monitoring method |
| CN112810856B (en) * | 2020-11-13 | 2021-12-17 | 江苏优蓝恒环保科技股份有限公司 | Material filling system based on bag type identification |
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| JP5174086B2 (en) * | 2010-05-27 | 2013-04-03 | キヤノン株式会社 | Image forming apparatus |
| JP2018095362A (en) * | 2016-12-09 | 2018-06-21 | 株式会社タダノ | Crane |
| JP6390065B2 (en) * | 2016-12-09 | 2018-09-19 | 株式会社タダノ | crane |
| CN107480645A (en) * | 2017-08-21 | 2017-12-15 | 王修晖 | A kind of tower crane collision avoidance system and method based on pattern recognition technique |
| CN107344696B (en) * | 2017-08-25 | 2018-11-02 | 上海沪东集装箱码头有限公司 | Tire crane anti-collision based on real time video image identification hits early warning system and its method |
| CN108748165A (en) * | 2018-08-13 | 2018-11-06 | 安徽爱依特科技有限公司 | A kind of artificial intelligence robot of autonomous classification anticollision |
| CN109019335B (en) * | 2018-09-04 | 2019-10-11 | 大连理工大学 | A detection method of hoisting safety distance based on deep learning |
| CN110240074B (en) * | 2019-06-14 | 2021-06-25 | 万翼科技有限公司 | Tower crane equipment, and projection prompting method and device for tower crane equipment hanging object area |
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